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AI Use Case

Model city-wide process flows and cross-departmental outcomes

Merge data flows from multiple sources - visual (satellite, drone, CCTV, Google Street Map etc), demographic and socio-economic, sensors (e.g. traffic flow), social media and other - to build models for prediction and flow modelling and analytics of the city as a system. can be used for short term tactical decisions - traffic stoppages for example - or long term strategic - planning decisions for example. AI co-ordinates, calculates and potentially delivers visualisation.



Operational Support - Situational awareness,Operational Support - Process visualisation

Case Studies

City of New York~New York is estimating street volumes and understanding how street design can reduce injuries using predictive algorithms,City of Seattle~Seattle is identifying collision patterns and factors that contribute to higher levels of injury severity ,City of Las Vegas~Las Vegas predicts traffic and road accidents and improves emergency services response time with machine learning predictive analytics ,Huawei~Huawei launches operating system for smart cities using AI

Potential Vendors

Microsoft Azure,DataKind,DataKind,Microsoft Azure


Public And Social Sector


Data Sets

Structured / Semi-structured,Time series,Video

AI Technologies

Machine Learning (ML),Traditional AI,ML Task - Action Selection - Reinforcement Learning

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